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The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis

BACKGROUND: China implemented strict non-pharmaceutical interventions to contain COVID-19 at the early stage. We aimed to evaluate the impact of COVID-19 on HIV care continuum in China. METHODS: Aggregated data on HIV care continuum between 1 January 2017 and 31 December 2020 were collected from cen...

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Autores principales: Wu, Xinsheng, Wu, Guohui, Ma, Yanmin, Huang, Xiaojie, Yang, Yuecheng, Cai, Yanshan, Luo, Ganfeng, Ma, Ping, Qiao, Ying, Chen, Yuanyi, Lin, Yi-Fan, Gao, Yanxiao, Zhan, Yuewei, Song, Wei, Wang, Yingying, Wang, Rugang, Yang, Xuejuan, Sun, Lijun, Wei, Hongxia, Li, Quanmin, Xin, Xiaoli, Wang, Lijing, Wang, Xicheng, Xie, Ronghui, Yang, Lijuan, Meng, Xiaojun, Zhao, Jin, Li, Linghua, Zhang, Tong, Xu, Junjie, Fu, Gengfeng, Zou, Huachun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365399/
https://www.ncbi.nlm.nih.gov/pubmed/35966023
http://dx.doi.org/10.1016/j.lanwpc.2022.100569
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author Wu, Xinsheng
Wu, Guohui
Ma, Yanmin
Huang, Xiaojie
Yang, Yuecheng
Cai, Yanshan
Luo, Ganfeng
Ma, Ping
Qiao, Ying
Chen, Yuanyi
Lin, Yi-Fan
Gao, Yanxiao
Zhan, Yuewei
Song, Wei
Wang, Yingying
Wang, Rugang
Yang, Xuejuan
Sun, Lijun
Wei, Hongxia
Li, Quanmin
Xin, Xiaoli
Wang, Lijing
Wang, Xicheng
Xie, Ronghui
Yang, Lijuan
Meng, Xiaojun
Zhao, Jin
Li, Linghua
Zhang, Tong
Xu, Junjie
Fu, Gengfeng
Zou, Huachun
author_facet Wu, Xinsheng
Wu, Guohui
Ma, Yanmin
Huang, Xiaojie
Yang, Yuecheng
Cai, Yanshan
Luo, Ganfeng
Ma, Ping
Qiao, Ying
Chen, Yuanyi
Lin, Yi-Fan
Gao, Yanxiao
Zhan, Yuewei
Song, Wei
Wang, Yingying
Wang, Rugang
Yang, Xuejuan
Sun, Lijun
Wei, Hongxia
Li, Quanmin
Xin, Xiaoli
Wang, Lijing
Wang, Xicheng
Xie, Ronghui
Yang, Lijuan
Meng, Xiaojun
Zhao, Jin
Li, Linghua
Zhang, Tong
Xu, Junjie
Fu, Gengfeng
Zou, Huachun
author_sort Wu, Xinsheng
collection PubMed
description BACKGROUND: China implemented strict non-pharmaceutical interventions to contain COVID-19 at the early stage. We aimed to evaluate the impact of COVID-19 on HIV care continuum in China. METHODS: Aggregated data on HIV care continuum between 1 January 2017 and 31 December 2020 were collected from centers for disease control and prevention at different levels and major infectious disease hospitals in various regions in China. We used interrupted time series analysis to characterize temporal trend in weekly numbers of HIV post-exposure prophylaxis (PEP) prescriptions, HIV tests, HIV diagnoses, median time intervals between HIV diagnosis and antiretroviral therapy (ART) initiation (time intervals, days), ART initiations, mean CD4+ T cell counts at ART initiation (CD4 counts, cells/μL), ART collections, and missed visits for ART collection, before and after the implementation of massive NPIs (23 January to 7 April 2020). We used Poisson segmented regression models to estimate the immediate and long-term impact of NPIs on these outcomes. FINDINGS: A total of 16,780 PEP prescriptions, 1,101,686 HIV tests, 69,659 HIV diagnoses, 63,409 time intervals and ART initiations, 61,518 CD4 counts, 1,528,802 ART collections, and 6656 missed visits were recorded during the study period. The majority of outcomes occurred in males (55·3-87·4%), 21-50 year olds (51·7-90·5%), Southwestern China (38·2-82·0%) and heterosexual transmission (47·9-66·1%). NPIs was associated with 71·5% decrease in PEP prescriptions (IRR 0·285; 95% CI 0·192-0·423), 36·1% decrease in HIV tests (0·639, 0·497-0·822), 32·0% decrease in HIV diagnoses (0·680, 0·511-0·904), 59·3% increase in time intervals (1·593, 1·270-1·997) and 17·4% decrease in CD4 counts (0·826, 0·746-0·915) in the first week during NPIs. There was no marked change in the number of ART initiations, ART collections and missed visits during the NPIs. By the end of 2020, the number of HIV tests, HIV diagnoses, time intervals, ART initiations, and CD4 counts reached expected levels, but the number of PEP prescriptions (0·523, 0·394-0·696), ART collections (0·720, 0·595-0·872), and missed visits (0·137, 0·086-0·220) were still below expected levels. With the ease of restrictions, PEP prescriptions (slope change 1·024/week, 1·012-1·037), HIV tests (1·016/week, 1·008-1·026), and CD4 counts (1·005/week, 1·001-1·009) showed a significant increasing trend. INTERPRETATION: HIV care continuum in China was affected by the COVID-19 NPIs at various levels. Preparedness and efforts to maintain the HIV care continuum during public health emergencies should leverage collaborations between stakeholders. FUNDING: Natural Science Foundation of China.
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spelling pubmed-93653992022-08-11 The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis Wu, Xinsheng Wu, Guohui Ma, Yanmin Huang, Xiaojie Yang, Yuecheng Cai, Yanshan Luo, Ganfeng Ma, Ping Qiao, Ying Chen, Yuanyi Lin, Yi-Fan Gao, Yanxiao Zhan, Yuewei Song, Wei Wang, Yingying Wang, Rugang Yang, Xuejuan Sun, Lijun Wei, Hongxia Li, Quanmin Xin, Xiaoli Wang, Lijing Wang, Xicheng Xie, Ronghui Yang, Lijuan Meng, Xiaojun Zhao, Jin Li, Linghua Zhang, Tong Xu, Junjie Fu, Gengfeng Zou, Huachun Lancet Reg Health West Pac Articles BACKGROUND: China implemented strict non-pharmaceutical interventions to contain COVID-19 at the early stage. We aimed to evaluate the impact of COVID-19 on HIV care continuum in China. METHODS: Aggregated data on HIV care continuum between 1 January 2017 and 31 December 2020 were collected from centers for disease control and prevention at different levels and major infectious disease hospitals in various regions in China. We used interrupted time series analysis to characterize temporal trend in weekly numbers of HIV post-exposure prophylaxis (PEP) prescriptions, HIV tests, HIV diagnoses, median time intervals between HIV diagnosis and antiretroviral therapy (ART) initiation (time intervals, days), ART initiations, mean CD4+ T cell counts at ART initiation (CD4 counts, cells/μL), ART collections, and missed visits for ART collection, before and after the implementation of massive NPIs (23 January to 7 April 2020). We used Poisson segmented regression models to estimate the immediate and long-term impact of NPIs on these outcomes. FINDINGS: A total of 16,780 PEP prescriptions, 1,101,686 HIV tests, 69,659 HIV diagnoses, 63,409 time intervals and ART initiations, 61,518 CD4 counts, 1,528,802 ART collections, and 6656 missed visits were recorded during the study period. The majority of outcomes occurred in males (55·3-87·4%), 21-50 year olds (51·7-90·5%), Southwestern China (38·2-82·0%) and heterosexual transmission (47·9-66·1%). NPIs was associated with 71·5% decrease in PEP prescriptions (IRR 0·285; 95% CI 0·192-0·423), 36·1% decrease in HIV tests (0·639, 0·497-0·822), 32·0% decrease in HIV diagnoses (0·680, 0·511-0·904), 59·3% increase in time intervals (1·593, 1·270-1·997) and 17·4% decrease in CD4 counts (0·826, 0·746-0·915) in the first week during NPIs. There was no marked change in the number of ART initiations, ART collections and missed visits during the NPIs. By the end of 2020, the number of HIV tests, HIV diagnoses, time intervals, ART initiations, and CD4 counts reached expected levels, but the number of PEP prescriptions (0·523, 0·394-0·696), ART collections (0·720, 0·595-0·872), and missed visits (0·137, 0·086-0·220) were still below expected levels. With the ease of restrictions, PEP prescriptions (slope change 1·024/week, 1·012-1·037), HIV tests (1·016/week, 1·008-1·026), and CD4 counts (1·005/week, 1·001-1·009) showed a significant increasing trend. INTERPRETATION: HIV care continuum in China was affected by the COVID-19 NPIs at various levels. Preparedness and efforts to maintain the HIV care continuum during public health emergencies should leverage collaborations between stakeholders. FUNDING: Natural Science Foundation of China. Elsevier 2022-08-10 /pmc/articles/PMC9365399/ /pubmed/35966023 http://dx.doi.org/10.1016/j.lanwpc.2022.100569 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Wu, Xinsheng
Wu, Guohui
Ma, Yanmin
Huang, Xiaojie
Yang, Yuecheng
Cai, Yanshan
Luo, Ganfeng
Ma, Ping
Qiao, Ying
Chen, Yuanyi
Lin, Yi-Fan
Gao, Yanxiao
Zhan, Yuewei
Song, Wei
Wang, Yingying
Wang, Rugang
Yang, Xuejuan
Sun, Lijun
Wei, Hongxia
Li, Quanmin
Xin, Xiaoli
Wang, Lijing
Wang, Xicheng
Xie, Ronghui
Yang, Lijuan
Meng, Xiaojun
Zhao, Jin
Li, Linghua
Zhang, Tong
Xu, Junjie
Fu, Gengfeng
Zou, Huachun
The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis
title The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis
title_full The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis
title_fullStr The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis
title_full_unstemmed The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis
title_short The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis
title_sort impact of covid-19 non-pharmaceutical interventions on hiv care continuum in china: an interrupted time series analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365399/
https://www.ncbi.nlm.nih.gov/pubmed/35966023
http://dx.doi.org/10.1016/j.lanwpc.2022.100569
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